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Observational Study
Development and validation of a model for predicting 18-month mortality in type 2 myocardial infarction.
- Truong H Hoang, Victor V Maiskov, Imad A Merai, and Zhanna D Kobalava.
- Department of Internal Diseases with the Course of Cardiology and Functional Diagnostics named after V.S. Moiseev, Institute of Medicine, RUDN University, Moscow, Russia. Electronic address: trangxuchin89@gmail.com.
- Am J Emerg Med. 2021 Oct 1; 48: 224-230.
BackgroundDespite the poor prognosis in patients with type 2 myocardial infarction (MI), no prospective data on risk stratification exists. The aim of this study was to develop and validate a model for prediction of 18-month mortality of among patients with type 2 MI (T2MI) and compare its performance with GRACE and TARRACO scores.MethodsThe prospective observational study included 712 consecutive patients diagnosed with MI undergoing coronary angiography <24 h between January 2017 and December 2018. Diagnosis of T2MI was adjusted according to Third universal definition. A prognostic model was developed by using Bayesian approach and logistic regression analysis with identifying predictors for mortality. The model was validated by bootstrap validation. Comparison performance between scores using Delong test.ResultsT2MI was identified in 174 (24.4%) patients. The median age of patients was 69 years, 52% were female. The mortality rate was 20.1% at 18 months. Prior MI, presence of ST elevation, hemoglobin level at admission, Charlson comorbidity index and were independently associated with 18-month mortality. The model to predict 18-month mortality showed excellent discrimination (optimism corrected c-statistic = 0.822) and calibration (corrected slope = 0.893). GRACE and TARRACO scores had moderate discrimination [c-statistic = 0.748 (95% CI 0.652-0.843) and 0.741, 95% CI 0.669-0.805), respectively] and inferior compared with model (p = 0.043 and 0.037, respectively).ConclusionsThe risk of mortality among T2MI patients could be accurately predicted by using common clinical characteristics and laboratory tests. Further studies are required with external validation of nomogram prior to clinical implementation.Copyright © 2021 Elsevier Inc. All rights reserved.
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